Graduate Course in Probability
(2013)

Nonfiction

eBook

Provider: hoopla

Details

PUBLISHED
[United States] : Dover Publications : Made available through hoopla, 2013
DESCRIPTION

1 online resource

ISBN/ISSN
9780486782119 (electronic bk.) MWT11606880, 0486782115 (electronic bk.) 11606880
LANGUAGE
English
NOTES

Suitable for a graduate course in analytic probability, this text requires only a limited background in real analysis. Topics include probability spaces and distributions, stochastic independence, basic limiting options, strong limit theorems for independent random variables, central limit theorem, conditional expectation and Martingale theory, and an introduction to stochastic processes

Mode of access: World Wide Web

Additional Credits